Railway Asset Management
Efficiently manage and optimize the performance of railway assets to improve safety, maintenance processes, support economic growth and minimize environmental impact. We can create a customized knowledge graph, federate across virtualized data silos to help you maximize your asset management for minimum cost and risk.
How you’ll benefit
Have a 360° view of all your assets, systems, procedures, tools and activities
Analyze data about usage to enable predictive and preventive maintenance
Match and fuse data across numerous data silos and master systems
Apply easy to use semantic search over heterogeneous data
Build dynamic simulation models (digital twins) of railway assets
Benefit from IoT integration and leverage your sensor network for actionable insights
How it works
Semantic data integration
- Blend data from disparate sources by employing a data-centric architecture built upon an RDF model.
- Utilize and explore the industry standards developed by the industry domain leaders and regulators.
- Normalize data to concepts from major ontologies and registries used by the business.
- Employ proper semantic alignment that guarantees a high quality knowledge graph.
- Leverage complex sensor network aggregates for actionable insights and risk management
Knowledge graph
- Infer new facts and relationships by applying logical rules on data at scale, including temporal reasoning.
- Provide a semantically aligned model for data consumption and reuse.
- Run as a simulation model for managing assets and solving complex questions by using sequences of multiple causal relations.
Analytics and exploration
- Benefit from an evolving knowledge graph loaded with high-quality data and provenance on a single fact level.
- Use as a foundation for training machine learning and deep learning models to identify patterns and correlations between your assets.
- Create specific user interfaces for visualizing and exploring your newly created knowledge graph to support your decision-making process.
